The Fraud Risk Analyst & Reporting role provides the analytical and intelligence backbone of the GCC’s fraud risk function. The role holder is responsible for producing high-quality management information, maintaining the GCC's fraud risk assessment framework, developing fraud scenarios and typology intelligence, and leading customer awareness and communication initiatives. Working closely with the Head of Fraud Risk, the role holder translates data and emerging fraud intelligence into actionable insights that strengthen the GCC's fraud controls and inform strategic decision-making.
Job Responsibilities:
- Develop, maintain and periodically refresh the Branch's Fraud Risk Assessment (FRA), covering all material products, channels and customer segments exposed to transactional fraud risk.
- Conduct inherent and residual risk scoring across fraud risk categories, including card fraud, account takeover, authorized push payment (APP) fraud, identity theft and cyber-enabled fraud.
- Identify control gaps and weaknesses through risk assessment outputs and work with the Head of Fraud Risk to track remediation actions to closure.
- Integrate fraud risk assessment findings into the Branch's broader Risk and Control Self-Assessment (RCSA) and risk appetite monitoring processes.
MI, Reporting & Analytics
- Design, produce and maintain the GCC's fraud MI suite, including daily operational dashboards, monthly management packs and quarterly Board-level reporting.
- Track and report on key fraud risk indicators (KRIs) and key performance indicators (KPIs), including alert volumes, false positive rates, case closure rates, detection rates and financial losses.
- Analyse alert dis-positioning data to identify trends, patterns and anomalies that may indicate emerging fraud activity or control weaknesses in detection rules.
- Support the Head of Fraud Risk in preparing regulatory submissions and responses GCC regulator information requests relating to fraud data and statistics.
- Develop and maintain detection rule performance reporting, tracking rule effectiveness, false positive rates and coverage gaps in coordination with the fraud monitoring team.
- Monitor and research evolving fraud typologies relevant to the UAE and GCC market, including industry publications, regulatory guidance, Interpol and FATF fraud-related outputs, and peer bank intelligence.
- Develop and maintain a library of fraud scenarios and typologies relevant to the GCC's product and customer profile, used to inform risk assessments, detection rule development and staff training.
- Produce regular fraud intelligence briefings for the Head of Fraud Risk, senior management and the fraud governance forum, highlighting emerging threats and recommended control responses.
- Contribute to the GCC's fraud scenario analysis under stress-testing and ICAAP frameworks, quantifying potential fraud losses under adverse conditions.
Customer Awareness & Communication
- Design and implement the GCC's customer fraud awareness program, covering common fraud typologies affecting retail and corporate customers in the UAE, Qatar and Bahrain (e.g. phishing, impersonation scams).
- Develop customer-facing communications, alerts and educational content in coordination with Marketing and Digital teams, ensuring messages are timely, clear and appropriately targeted.
- Support the GCC's compliance with any regulatory requirements or Banks Federation guidance relating to customer fraud education and awareness obligations.
- Monitor feedback from the customer awareness program and measure effectiveness through metrics such as fraud attempt reporting rates and customer vulnerability indicators.
Detection Rule Management Support
- Maintain a register of active detection rules across the fraud monitoring system, tracking rule rationale, thresholds, review dates and performance metrics.
- Work with the investigation and QA team to identify false positive and false negative patterns and recommend rule amendments to the Head of Fraud Risk for approval.
- Support periodic rule effectiveness reviews and contribute to rule optimization initiatives.
Experience, Qualification & Skill Set:
- Minimum 3–5 years of experience in fraud risk analysis, financial crime analytics or a closely related risk management role within a regulated bank or financial institution.
- Proficiency in data analysis tools — advanced Excel, SQL and/or data visualization platforms (Power BI, Tableau or equivalent).
- Strong understanding of transactional fraud typologies, detection mechanisms and the GCC regulatory landscape.
- Experience producing MI packs, risk assessments and management reporting to a professional standard.
- Excellent written and verbal communication skills; able to present analytical findings clearly to non-technical stakeholders.
- Bachelor's degree in a quantitative discipline — Mathematics, Statistics, Finance, Economics, Data Science or equiv.
- Certified Fraud Examiner (CFE) or ICA Certificate/Diploma in Financial Crime Prevention.
- Experience with fraud detection platforms and rule management tools.
- Knowledge of machine learning concepts applied to fraud detection.
- Familiarity with GCC regulations and fraud working group outputs.